Yao Ni | Electronic Engineering | Editorial Board Member

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Dr. Yao Ni | Electronic Engineering | Editorial Board Member

Researcher | Guangdong University of Technology | China

Yao Ni is a distinguished researcher specializing in neuromorphic engineering, flexible electronics, artificial synapses, and advanced transistor technologies, with a strong focus on bridging biological intelligence and next-generation electronic systems. His research centers on developing neuromorphic devices, artificial nervous systems, and multifunctional sensing transistors that emulate cognitive, sensory, and neuromuscular behaviors, along with emerging interests in multi-scale reservoir computing, optoelectronic neural interfaces, and intelligent sensing systems for real-world decision-making. Currently serving as a Lecturer at the Guangdong University of Technology, he plays a vital role in advancing research on bio-inspired electronics and smart materials. His work experience showcases numerous collaborations on high-impact projects involving flexible neuromorphic transistors, artificial autonomic nervous systems, light-assisted learning devices, and complex synaptic architectures with multiscale plasticity. Over the years, Ni has significantly contributed to innovations in artificial synapses, hybrid neuromorphic platforms, and ion–electron coupled mechanisms that support advanced forms of memory, perception, and cognitive processing in artificial systems. His impactful research outputs include pioneering stretchable neuromorphic systems for gesture recognition, fiber-based neuromorphic pathways for reflex simulations, programmable photonic-electronic synapses, and neuromuscular devices capable of adaptive environmental responses. He has also contributed to highly cited works in Nature Communications, Advanced Functional Materials, Advanced Science, ACS Nano, and IEEE Electron Device Letters, reflecting his leadership in the field. His contributions extend to the development of low-power neuromorphic circuits, multifunctional sensory neurons, and metal-oxide synaptic devices with enhanced neuroplasticity, supporting innovation in human–machine integration, intelligent robotics, and next-generation computing. Furthermore, Ni’s extensive peer-review activities across more than 30 journals highlight his role in strengthening the global research ecosystem. His impact vision aims to create intelligent, adaptive, and energy-efficient neuromorphic systems that converge electronics with biological intelligence, ultimately influencing advances in healthcare technologies, autonomous robotics, environmental sensing, and future AI hardware. Through his research, Ni strives to enable transformative breakthroughs that promote societal progress, scientific discovery, and industrial applications in emerging electronic and neuromorphic technologies.

Profiles: Scopus | ORCID

Featured Publications 

1. Liu, J., Jiang, C., Yu, Q., Ni, Y., Yu, C., & Xu, W. (2025). Multidimensional free shape-morphing flexible neuromorphic devices with regulation at arbitrary points. Nature Communications,. https://doi.org/10.1038/s41467-024-55670-

2. Liu, J., Han, H., Liu, L., Li, Y., Yang, L., & Ni, Y., et al. (2023). Mammalian-brain-inspired neuromorphic motion-cognition nerve achieves cross-modal perceptual enhancement. Nature Communications, —. https://doi.org/10.1038/s41467-023-36935-w

3. Liu, L., Ni, Y., Liu, J., Wang, Y., Jiang, C., & Xu, W. (2023). An artificial autonomic nervous system that implements heart and pupil as controlled by artificial sympathetic and parasympathetic nerves. Advanced Functional Materials, —. https://doi.org/10.1002/adfm.202210119

4. Ni, Y., Yang, L., Feng, J., Liu, J., Sun, L., & Xu, W. (2023). Flexible optoelectronic neural transistors with broadband spectrum sensing and instant electrical processing for multimodal neuromorphic computing. SmartMat, —. https://doi.org/10.1002/smm2.1154

5. Xu, Z., Ni, Y., Han, H., Wei, H., Liu, L., & Zhang, S., et al. (2022). A hybrid ambipolar synaptic transistor emulating multiplexed neurotransmission for motivation control and experience-dependent learning. Chinese Chemical Letters, —. https://doi.org/10.1016/j.cclet.2022.03.015

Farouk Zouari | Electrical Engineering | Editorial Board Member

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Assist. Prof. Dr. Farouk Zouari | Electrical Engineering | Editorial Board Member 

Researcher | University of Tunis El Manar | Tunisia

Dr. Farouk Zouari is a distinguished researcher specializing in Electrical Engineering, Artificial Intelligence, Adaptive Control, and Computer Engineering, recognized for his pioneering contributions to intelligent control of nonlinear, fractional-order, and chaotic systems. His research primarily focuses on advanced neural and fuzzy control, time-delay system modeling, nonlinear system stabilization, and innovative output-feedback strategies, while his emerging interests explore AI-driven decision algorithms, intelligent medical control systems, and adaptive synchronization of complex dynamic systems. Dr. Zouari has served in key academic and research roles, collaborating extensively with multidisciplinary teams to develop next-generation control architectures, neural approximators, observer-based feedback systems, and high-precision adaptive controllers that strengthen both theoretical frameworks and real-world engineering applications. His contributions include novel designs for neural network controllers, intelligent fuzzy synchronization mechanisms, adaptive quantized control schemes, and robust backstepping approaches that address actuator nonlinearities, pseudo-state constraints, and fractional-order uncertainties. He has also advanced event-triggered control, intelligent drug-dosage dynamic modeling, and optimal control of electromechanical systems, providing impactful innovations with industrial, biomedical, and automation-related applications. Dr. Zouari’s growing body of research has resulted in high-impact publications that are widely cited for their methodological rigor and technical depth, contributing significantly to advancing nonlinear system control, computational intelligence, and real-time dynamic system optimization. His work has supported new engineering solutions, informed emerging policies on intelligent automation, and inspired further exploration into hybrid AI-control paradigms for next-generation autonomous systems. Driven by a deep commitment to scientific progress, his vision centers on integrating adaptive intelligence into complex engineering infrastructures to enhance efficiency, safety, and resilience across industries. He aims to bridge theoretical advancements with scalable real-world innovations, strengthening global research in intelligent control and enabling transformative technologies that benefit society through smarter automation, precision medical systems, and sustainable intelligent engineering solutions.

Profiles: Google Scholar | ORCID | Scopus | Linkedin | ResearchGate 

Featured Publications

1. Zouari, F., Ibeas, A., Boulkroune, A., Cao, J., & Arefi, M. M. (2018). Adaptive neural output-feedback control for nonstrict-feedback time-delay fractional-order systems with output constraints and actuator nonlinearities. Neural Networks, 105, 256–276.

2. Boubellouta, A., Zouari, F., & Boulkroune, A. (2019). Intelligent fuzzy controller for chaos synchronization of uncertain fractional-order chaotic systems with input nonlinearities. International Journal of General Systems, 48(3), 211–234.

3. Zouari, F., Ibeas, A., Boulkroune, A., Cao, J., & Arefi, M. M. (2021). Neural network controller design for fractional-order systems with input nonlinearities and asymmetric time-varying pseudo-state constraints. Chaos, Solitons & Fractals, 144, 110742.

4. Zouari, F., Boulkroune, A., & Ibeas, A. (2017). Neural adaptive quantized output-feedback control-based synchronization of uncertain time-delay incommensurate fractional-order chaotic systems with input nonlinearities. Neurocomputing, 237, 200–225.

5. Zouari, F., Ibeas, A., Boulkroune, A., Cao, J., & Arefi, M. M. (2019). Neuro-adaptive tracking control of non-integer order systems with input nonlinearities and time-varying output constraints. Information Sciences, 485, 170–199.

Samuel Awe | Material Engineering | Editorial Board Member

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Dr. Samuel Awe | Material Engineering | Editorial Board Member

Research Manager | Automotive Components Floby AB | Sweden

Dr. Samuel A. Awe is a distinguished researcher specializing in metal casting technology, corrosion prevention, thermomechanical modelling, and advanced coatings, with a strong focus on process optimization and material enhancement for industrial applications. His research primarily centers on hydrometallurgical and electrometallurgical processes, solidification behavior in complex alloys, and innovative surface engineering solutions for automotive components, while emerging interests include sustainable extraction methods, environmentally responsible metallurgy, and performance-driven coating technologies. Over his career, Dr. Awe has held impactful roles in both academia and industry, including significant research and development responsibilities at Automotive Components Floby AB in Sweden, where he contributed to material innovation for high-performance automotive systems. He has produced a notable body of work on antimony recovery, alkaline sulphide hydrometallurgy, solidification microstructures, and Fe-based coating technologies, establishing himself as an authority on the processing behavior of complex sulfide minerals and alloy systems. Among his major contributions are optimized flowsheets for antimony extraction, detailed dissolution kinetics models for tetrahedrite minerals, advancements in electrowinning of antimony, and influential studies on sulphur oxyanion formation affecting non-ferrous metallurgy processes. His work has also driven progress in the development of high-temperature Al-Cu-Si alloy systems, grey cast-iron brake disc coatings, and microstructure-wear correlations in high-velocity air-fuel (HVAF) deposited coatings. Dr. Awe’s research has generated widely cited publications, practical industrial insights, and methodology improvements that support safer, cleaner, and more efficient metal extraction techniques. His modelling of impurity removal, contributions to flotation chemistry, and extensive characterization of thermomechanical behavior in engineered alloys continue to inform both metallurgical science and industrial decision-making. Through these advances, he has strengthened pathways for improving resource efficiency, minimizing environmental impact, and elevating material performance in demanding engineering environments. Guided by a clear vision for global impact, Dr. Awe aims to advance sustainable metallurgical innovation, enhance industrial materials’ reliability, and support technologies that contribute to responsible resource utilization. His work bridges fundamental research and real-world application, ensuring that scientific progress translates into societal benefit, industrial competitiveness, and long-term innovation across the materials and manufacturing sectors.

Profile: Google Scholar

Featured Publications 

1. Awe, S. A., & Sandström, Å. (2010). Selective leaching of arsenic and antimony from a tetrahedrite-rich complex sulphide concentrate using alkaline sulphide solution. Minerals Engineering, 23(15), 1227–1236.

2. Awe, S. A., Jan-Eric, S., Nils-Johan, B., & Åke, S. (2013). Process flowsheet development for recovering antimony from Sb-bearing copper concentrates. Minerals Engineering, 49, 45–53.

3. Awe, S. A., Samuelsson, C., & Sandström, Å. (2010). Dissolution kinetics of tetrahedrite mineral in alkaline sulphide media. Hydrometallurgy, 103(1–4), 167–172.

4. Aranke, O., Algenaid, W., Awe, S., & Joshi, S. (2019). Coatings for automotive gray cast iron brake discs: A review. Coatings, 9(9), 27.

5. Awe, S. A., Seifeddine, S., Jarfors, A. E. W., Lee, Y. C., & Dahle, A. K. (2016). Development of new Al–Cu–Si alloys for high temperature performance. Advanced Materials Letters.

Rocco Mozzillo | Engineering | Best Researcher Award

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🌟Assoc Prof Dr. Rocco Mozzillo, Engineering, Best Researcher Award🏆

  •  Associate Professor at Università degli Studi della Basilicata, Italy

Rocco Mozzillo is an Italian engineer with extensive experience in academia and industry. He holds a Ph.D. in Engineering of Mechanical Systems from the University of Naples Federico II. His expertise lies in mechanical design, digital manufacturing, remote handling, maintenance manuals, and virtual reality. Mozzillo has a strong background in industrial engineering, particularly in yacht production and shipbuilding. He has also worked as a consultant for various companies, providing expertise in areas such as human modeling, CAD design, and FEM analysis. Mozzillo’s artistic pursuits include music, with qualifications in music theory and piano. Fluent in both Italian and English, he is also certified in various software tools and holds driving licenses for categories A and B.

Author Metrics:

Author metrics, such as citation counts, h-index, and impact factor of journals, are not provided in the given information. However, as an academic researcher and Assistant Professor, Rocco Mozzillo may have a track record of publications in peer-reviewed journals and conferences. These publications, along with any associated metrics, would reflect his impact and influence within the engineering community.

Scopus Profile

Google Scholar Profile

 Mozzillo’s research contributions can be further explored and attributed. His work has garnered 1,019 citations across 60 documents, highlighting the impact and relevance of his research. Moreover, he has achieved an h-index of 17, indicating that 17 of his papers have each been cited at least 17 times. This metric provides insight into the quality and significance of Mozzillo’s scholarly output.

Education:

Rocco Mozzillo earned his Ph.D. in Engineering of Mechanical Systems from the Industrial Engineering Department of the University of Naples Federico II. Prior to this, he completed a University Master’s degree in Industrial Engineering at the same institution. He also holds a Scientific High School diploma from the Scientific High School of Aversa “E. Fermi.” His academic journey has equipped him with skills in mathematical analysis, structural mechanics, thermodynamics, mechanics of machines, industrial production management, computer-aided design, and more.

Research Focus:

Mozzillo’s research interests span various fields within engineering, including mechanical design, digital manufacturing, virtual reality, and remote handling. He has been involved in projects focusing on smart factories, ergonomic improvements, safety enhancements, and innovative certification methods. His work in the SMART FACTORIES project emphasized the use of virtual reality to enhance ergonomics and safety in manufacturing environments. Additionally, his contributions to the CERVIA project involved innovative certification and verification methods. Mozzillo’s research reflects a commitment to advancing engineering practices and technologies for real-world applications.

Professional Journey:

Rocco Mozzillo has held several positions throughout his professional journey, combining academic roles with consultancy and industry experience. He started as an industrial engineer, working on production control and engineering for luxury yacht manufacturing at APREAMARE – ITAMA Spa, part of the Ferretti Group. Subsequently, he transitioned into academia, serving as a Post-Doctoral Research Fellow at the University of Naples Federico II. During this time, he contributed to various projects related to fusion reactors, remote handling tools, and mechanical design. Mozzillo also worked as a consultant for companies like Protom Group Spa and PROMEC SRL, providing expertise in mechanical design, CAD tools, and remote maintenance.

Honors & Awards:

Rocco Mozzillo’s contributions to the field of engineering have been recognized through various honors and awards. While specific awards are not mentioned in the provided information, his extensive work in academia, industry, and consultancy suggests a high level of expertise and dedication. His involvement in research projects and his role as an Assistant Professor indicate a level of recognition and achievement within his field.

Publications Noted & Contributions:

While specific publications and contributions are not listed in the provided information, Rocco Mozzillo’s research activities and professional engagements suggest a significant body of work. As an Assistant Professor and Post-Doctoral Research Fellow, he likely has contributed to academic publications, conference papers, and project reports. His work in areas such as mechanical design, virtual reality, and smart factories may have resulted in contributions to advancements in engineering practices and technologies.

“Human-Robot Collaboration: An Augmented Reality Toolkit for Bi-Directional Interaction”
Authors: G Carriero, N Calzone, M Sileo, F Pierri, F Caccavale, R Mozzillo
Published in Applied Sciences, Volume 13, Issue 20, Pages 11295
Year: 2023

“Design and integration of the WCLL Tritium Extraction and Removal System into the European DEMO tokamak Reactor”
Authors: M Utili, C Alberghi, R Bonifetto, L Candido, A Collaku, B Garcinuño, …
Published in Energies, Volume 16, Issue 13, Pages 5231
Year: 2023

“Mixed reality platform supporting human-robot interaction”
Authors: N Calzone, M Sileo, R Mozzillo, F Pierri, F Caccavale
Presented at the International Joint Conference on Mechanics, Design Engineering & Advanced …
Year: 2022

“Design and integration of automation systems with manual operation: small and medium enterprises issues”
Authors: R Salvato, G Marra, P Scardamaglia, G Di Gironimo, D Marzullo, …
Published in the Proceedings of Design Tools and Methods in Industrial Engineering II
Year: 2022

“Requirements engineering in complex systems design”
Authors: D Marzullo, G Di Gironimo, A Lanzotti, R Mozzillo, A Tarallo
Presented at the International Conference on Design, Simulation, Manufacturing: The …
Year: 2021

“The DTT device: Advances in conceptual design of vacuum vessel and cryostat structures”
Authors: G Di Gironimo, D Marzullo, R Mozzillo, A Tarallo, S Grazioso
Published in Fusion Engineering and Design, Volume 146, Pages 2483-2488
Year: 2019

These publications showcase Rocco Mozzillo’s contributions to various fields such as human-robot interaction, design and integration of complex systems, and conceptual design in fusion engineering.

Research Timeline:

Rocco Mozzillo’s research timeline spans from his doctoral studies to his current position as an Assistant Professor. His research journey includes involvement in various projects focused on smart factories, fusion reactors, remote handling tools, and mechanical design. Starting from his doctoral research, Mozzillo has continuously expanded his expertise and made significant contributions to advancing engineering knowledge and technologies.

Collaborations and Projects:

Throughout his career, Rocco Mozzillo has collaborated with various institutions, consortia, and companies on research projects and consultancy assignments. These collaborations have involved universities such as the University of Naples Federico II and Basilicata University, as well as industry consortia like CREATE Consortium and companies like Protom Group Spa and PROMEC SRL. His projects have covered a wide range of areas, including smart factories, fusion reactors, remote handling tools, and mechanical design, showcasing his versatility and interdisciplinary approach to engineering challenges.